chore: import upstream snapshot with attribution

paddle/phi/kernels/sparse/empty_kernel.cc

@@ -0,0 +1,122 @@
+/* Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
+
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+    http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License. */
+
+#include "paddle/phi/kernels/sparse/empty_kernel.h"
+#include "paddle/phi/backends/cpu/cpu_context.h"
+#include "paddle/phi/backends/gpu/gpu_context.h"
+#include "paddle/phi/core/kernel_registry.h"
+#include "paddle/phi/core/tensor_utils.h"
+
+namespace phi::sparse {
+
+template <typename T, typename Context>
+void EmptyLikeCooKernel(const Context& dev_ctx,
+                        const SparseCooTensor& x,
+                        SparseCooTensor* out) {
+  *(out->mutable_indices()) = x.indices();
+
+  const DenseTensor& x_values = x.values();
+  DenseTensor* out_values = out->mutable_values();
+  out_values->Resize(x_values.dims());
+  out->set_meta(x.meta());
+  dev_ctx.template Alloc<T>(out_values);
+}
+
+template <typename T, typename Context>
+void EmptyLikeCsrKernel(const Context& dev_ctx,
+                        const SparseCsrTensor& x,
+                        SparseCsrTensor* out) {
+  *(out->mutable_crows()) = x.crows();
+  *(out->mutable_cols()) = x.cols();
+
+  const DenseTensor& x_values = x.values();
+  DenseTensor* out_values = out->mutable_values();
+  out_values->Resize(x_values.dims());
+  out->set_meta(x.meta());
+  dev_ctx.template Alloc<T>(out_values);
+}
+}  // namespace phi::sparse
+
+PD_REGISTER_KERNEL(empty_like_coo,
+                   CPU,
+                   ALL_LAYOUT,
+                   phi::sparse::EmptyLikeCooKernel,
+                   float,
+                   double,
+                   int8_t,
+                   uint8_t,
+                   int16_t,
+                   int,
+                   int64_t,
+                   bool,
+                   phi::complex64,
+                   phi::complex128) {
+  kernel->InputAt(0).SetDataLayout(phi::DataLayout::SPARSE_COO);
+}
+
+PD_REGISTER_KERNEL(empty_like_csr,
+                   CPU,
+                   ALL_LAYOUT,
+                   phi::sparse::EmptyLikeCsrKernel,
+                   float,
+                   double,
+                   int8_t,
+                   uint8_t,
+                   int16_t,
+                   int,
+                   int64_t,
+                   bool,
+                   phi::complex64,
+                   phi::complex128) {
+  kernel->InputAt(0).SetDataLayout(phi::DataLayout::SPARSE_CSR);
+}
+
+#if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
+PD_REGISTER_KERNEL(empty_like_coo,
+                   GPU,
+                   ALL_LAYOUT,
+                   phi::sparse::EmptyLikeCooKernel,
+                   phi::float16,
+                   float,
+                   double,
+                   int8_t,
+                   uint8_t,
+                   int16_t,
+                   int,
+                   int64_t,
+                   bool,
+                   phi::complex64,
+                   phi::complex128) {
+  kernel->InputAt(0).SetDataLayout(phi::DataLayout::SPARSE_COO);
+}
+
+PD_REGISTER_KERNEL(empty_like_csr,
+                   GPU,
+                   ALL_LAYOUT,
+                   phi::sparse::EmptyLikeCsrKernel,
+                   phi::float16,
+                   float,
+                   double,
+                   int8_t,
+                   uint8_t,
+                   int16_t,
+                   int,
+                   int64_t,
+                   bool,
+                   phi::complex64,
+                   phi::complex128) {
+  kernel->InputAt(0).SetDataLayout(phi::DataLayout::SPARSE_CSR);
+}
+
+#endif